\Header{Indometh}{Pharmacokinetics of Indomethicin}
\keyword{datasets}{Indometh}
\begin{Description}\relax
The \code{Indometh} data frame has 66 rows and 3 columns of data on
the pharmacokinetics of indomethicin.\end{Description}
\begin{Usage}
\begin{verbatim}data(Indometh)\end{verbatim}
\end{Usage}
\begin{Format}\relax
This data frame contains the following columns:
\describe{
\item[Subject] an ordered factor with containing the subject codes.  The
ordering is according to increasing maximum response.

\item[time] a numeric vector of times at which blood samples were drawn (hr).

\item[conc] a numeric vector of plasma concentrations of indomethicin (mcg/ml).

}\end{Format}
\begin{Details}\relax
Each of the six subjects were given an intravenous injection of
indomethicin.\end{Details}
\begin{Source}\relax
Kwan, Breault, Umbenhauer, McMahon and Duggan (1976),
\dQuote{Kinetics of Indomethicin absorption, elimination, and
enterohepatic circulation in man},
\emph{Journal of Pharmacokinetics and Biopharmaceutics}, \bold{4},
255--280.

Davidian, M. and Giltinan, D. M. (1995) \emph{Nonlinear Models for
Repeated Measurement Data}, Chapman \& Hall (section 5.2.4, p. 134)

Pinheiro, J. C. and Bates, D. M. (2000) \emph{Mixed-effects Models in
S and S-PLUS}, Springer.\end{Source}
\begin{Examples}
\begin{ExampleCode}
data(Indometh)
fm1 <- nls(conc ~ SSbiexp(time, A1, lrc1, A2, lrc2),
           data = Indometh, subset = Subject == 1)
summary(fm1)
\end{ExampleCode}
\end{Examples}

